Title :
Simulating DIC microscope images: from physical principles to a computational model
Author :
Kagalwala, Farhana ; Kanade, Takeo
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Differential Interference Contrast (DIC) microscopy is a powerful visualization tool to study live biological cells. Its use in quantitative analysis, however, is limited by the nonlinear relation between image and object. Combining concepts from graphics and physics, we model these nonlinearities using a generalized ray tracer. We verify our model by comparing real image data of manufactured specimens to simulated images of virtual objects. We plan to use this model to iteratively reconstruct the three-dimensional properties of unknown specimens
Keywords :
image reconstruction; microscopy; DIC microscope images; computational model; generalized ray tracer; graphics; real image data; reconstruct; simulated images; visualization tool; Biological cells; Biological system modeling; Data visualization; Graphics; Image analysis; Image reconstruction; Interference; Microscopy; Physics; Virtual manufacturing;
Conference_Titel :
Photometric Modeling for Computer Vision and Graphics, 1999. Workshop on.
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0271-7
DOI :
10.1109/PMCVG.1999.787761
